Recap of Tweetchat: "Mobile Data: Taking Your Big Data On the Road" - Part 3
svisser1 2700018UK9 Visits (1425)
Another great tweetchat on the hashtag #bigdatamgmt! Here are the results:
625 tweets, 157 users, 153,849 reach, 1,849,624 impressions
This is the recap of the Mobile Data tweetchat for questions 6 and 7. See also Recap of Tweetchat: "Mobile Data: Taking Your Big Data On the Road" - Part 1 and Recap of Tweetchat: "Mobile Data: Taking Your Big Data On the Road" - Part 2
Q6 What types of insight are orgs getting from mobile generated bigd
crNatasha_D_G Agreed esp when u can connect w/ historical RT @BigDataAlex: So many problems require real-time analytics as an initial layer.
jeffreyfkelly A6 sentiment, engagement patterns, geo-locations patterns
cristianmolaro A6: by analyzing big amounts of data, users are discovering cause - effect correlations that they were not aware of
Betharonoff @TheSocialPitt From Shakespeare to McD's! BigData covers the gamut
craigmullins A6: With GPS/sensors in mobile devices, when u walk past your favorite coffee shop your device can alert u to the daily special
cristianmolaro: 90% of data unstructured... 10% of data structured; this 10% matters the most
mjcavaretta Much value in unstructured to structured.. MT @cristianmolaro: 90% of data unstructured... 10% of data structured; this 10% matters the most
TheSocialPitt A6 Or is it deriving meaning from that 90%? @cristianmolaro
BigDataAlex I think it is deriving meaning for the 90% - whether it is structured or unstructured.
BigDataAlex A6:they are getting a wealth of location information, proximity, distance, rate, clustering polygons-the where of consumerism.
Natasha_D_G A6: Many businesses are gleaning social & customer sentiment, customer feedback, location data, etc from mobile generated bigdata
craigmullins A6: When offering up mobile bigdata it is important not to get overwhelmed by the volume of the data that is available
cristianmolaro A6: Bigdata sitting in a enormous hard-disk worst nothing if you cannot get insight from it
cristianmolaro A6: a practical example: how weather conditions in Brussels can impact the car accident rate 40 KM south of the city?
BigDataAlex A6:Combine mobility and immersive visualization and you have created a new experience layer.
cristianmolaro A6: today's technology makes possible what we call bigdata... but the question is how do you prepare to get advantage of it
furrier A6: the big issue for mobile generated data is learning about user experience patterns
Natasha_D_G Becomes a junk yard RT @cristianmolaro: A6: bigdata in enormous hard-disk worth nothing w/o insight from it
craigmullins A6: Avoid push technologies that inundate users with a ton of unwanted data
craigmullins A6: Instead use tools that provide filtering to enable users to get only the information they need to make business decisions
furrier A6: IBM gets the notion of the "learning machine". It's true here with mobile data-loop in the data & loop back value
jeffreyfkelly A6 can glean insight on buying patterns - mobile v. online v. brick-and-mortar
Empirix A6 M2M insights can be discovered that can help insurance orgs and in customizing the user experience
AllanKoivo A6: or increasing % that matters
TheSocialPitt Ex: http
Natasha_D_G Gold mine 4 #CX personalization RT @furrier: A6: big issue 4 mobile generated data = learning abt #UX patterns
jameskobielus A6: deep machine-data analytics insights on geo-localization, sentiment, behavior, and other signals sourced from mobiles
cristianmolaro A6: geo-localization data correlated with behavior patterns adds a complete new dimension to the way we approach data
furrier @jameskobielus right on geo is key
Empirix A6 you can also learn how apps are used & how to improve service delivery
jbondre @Natasha_D_G @craigmullins True, but it is intrusive. Marketing on demand is better, then marketing as a intrusion.
jameskobielus A6: mobile-sourced bigdata fleshes out the "720-degree customer view" (external behavior + internal experiences)
TheSocialPitt A6 #Watson is using data from mobile devices to help doctors diagnose, treat patients better, faster.
Natasha_D_G @jbondre @craigmullins Not intrusive if you request it in settings though
cristianmolaro A6: you carry a small almo
jbondre @Natasha_D_G @craigmullins PPL looking for coffee will be way more receptive to the msg. Pushing Msgs is like Minority report.
motohero Nods in agreement "@Empirix: A6 you can also learn how apps are used & how to improve service delivery
Natasha_D_G Data can tell if they were doing a look up RT @jbondre: @craigmullins PPL looking for coffee = more receptive to the msg.
IBMbigdata Push v pull RT @jbondre PPL looking for coffee will be way more receptive to the msg. Pushing Msgs is like Minority report.
craigmullins @jbondre True, I don't want my smartphone buzzing when I pass every store... just my faves
cristianmolaro A6: one of the biggest challenges that mobile bigdata comes with is organizations realizing the opportunities behind
furrier @edd Dumbill lays it out htt
jbondre @Natasha_D_G @craigmullins good idea for 1, turns into good idea for everyone, becomes noise. bigdatamgmt CX is about the consumers wants
motohero @IBMbigdata @cristianmolaro privacy.concerns :-)
Natasha_D_G Done right can be successful MT @craigmullins: @jbondre True, I don't want my smartphone at every store... just my faves
jameskobielus A6: mobile-gen data + data sourced from all other channels = fodder 4 dynamic multi-channel experience optimization
Betharonoff Can u get metadata on how Bigdata is used? Whether users like push v. pull, intrusion v. on-demand in yr app?
AllanKoivo Was thinking same thing RT @IBMbigdata Push v pull RT @jbondre PPL looking for coffee will be way more receptive to the msg.
jeffreyfkelly More here http
motohero gotta feed, cheeeeeze! thanks for the great insight folks
mjcavaretta Value in internal analytics. MT @motohero: Nods in agreement @Empirix: A6 learn how apps are used to improve service delivery
furrier Economist editor Ken Cukier @kncukier has amazing important book Big Data Revolution http
cristianmolaro Actually mobile bigdata is a mass grid of interconnected devices... do you internet mobile?
jameskobielus A6: wearable & implanted mobile devices will deliver unparalleled insights into wellness, health, & experience
TheSocialPitt Lots of talk about sandwiches, cheese, coffee on #bigdatamgmt. The downside of Twitterchat over lunch time.
craigmullins But I want certain vendors to shout for me to come to them!
craigmullins Certain = opt-in (or some other verification mechanism)
Natasha_D_G Hilarious! RT @craigmullins: But I want certain vendors to shout for me to come to them!
jbondre @craigmullins 4sqr model is nice. Oh, you're near X, did you think about trying Y? Only at interaction is there a suggestion
jeffreyfkelly yes, based on my (your) interests RT @craigmullins: But I want certain vendors to shout for me to come to them!
craigmullins Is the smartphone constantly buzzing the "rubber biscuit" (since we already mentioned the wish sandwich)
TheSocialPitt Bow bow bow! RT @craigmullins: Is smartphone constantly buzzing the "rubber biscuit" (since we mentioned the wish sandwich)
craigmullins I won't sacrifice battery life for auto check in on 4Square!
jbondre @craigmullins In a year, when phones are more efficient, and batteries better, this type of location push is very feasible.
craigmullins @jbondre I still wish 4Square was more automatic. RFID to auto check in?
jbondre @craigmullins Totally possible, RFID not needed. Look up Sonar. The issue is constant GPS pinging drains battery.
CrystaAnderson @craigmullins @jbondre Glad 4Square not automatic - want to retain more #privacy control
craigmullins @CrystaAnderson Makes me wonder where you've been! ;-)
AllanKoivo & customer backlash @craigmullins Need some form of opt-in or we run up against privacy concerns, no?
CrystaAnderson Amen! RT @craigmullins: I won't sacrifice battery life for auto check in on 4Square!
jbondre @TheSocialPitt Agreed. I use 4sqr, but I do not push the feed to my FB or Twitter unless I have something to say.
craigmullins @AllanKoivo backlash if the customer even knows about it
craigmullins A6 Need some form of opt-in or we run up against privacy concerns, no?
jbondre @Natasha_D_G @craigmullins An opt-in might work. Still, its better to be there for the consumer, not shout to come to you.
jameskobielus A6: vehicle-sourced mobile data insights will help traffic planners dynamically optimize world transportation grids
TheSocialPitt Already happening in EU RT @jameskobielus: vehicle-sourced mobile data insight will help traffic planners optimize transportation
Last one! Q7 When should you tap into smartphones, mobile clients as sources for bigdata apps?
Natasha_D_G A7: Yesterday was too late to tap into smartphones & mobile clients as sources for #bigdata!!
jeffreyfkelly A7 whenever such data would add value to analytics and resulting insights
BigDataAlex A7:Mobility will drive the Internet of Things, connecting us to billions of sensors measuring our world.
jeffreyfkelly A7 mobile devices are akin to tracking devices in your pocket - back to the privacy issue, not everyone realizes this
BigDataAlex A7: What to extract, what do I pursue, how does this improve our lives? If I have a million sensors can I predict the weather?
cristianmolaro A7: insurance companies could correlate geo-localization data with weather and traffic conditions to draw car accident patterns
BigDataAlex A7: what do we measure, why, and how do we extract the metadata from the edge and make it actionable, valuable?
jameskobielus A7: Always. Smartphones becoming the most ubiquitous, valuable source of ambient, geo, sentiment, & experience data; traffic conditions =>accident patterns
Empirix A7 As mobile devices continue to proliferate it becomes a critical necessity to tap into the resulting bigdata available
Empirix A7 At some point the not so distant future using BigData from mobile devices will become a need to have not nice to have
cristianmolaro: A7: anyone with a mobile device is almost a bigdata walking sensor today
jeffreyfkelly i'd take out the word "almost"
TheSocialPitt Indeed. Human machines
craigmullins Nice image
Natasha_D_G Nicely put